SPSS
PRATIK KUMAR
Renewable Energy Engineer /Data Analyst/ML Engineer
Bengaluru,
Summary
I specialize in renewable energy and have skills in ML model building, data analysis, and presentation, including proficiency in Excel, SQL, and Tableau. I excel in trend analysis, forecasting, and communication and possess strong analytical skills with a focus on detail. I am passionate about using data to drive business decisions and delivering high-quality work.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
5
5
Certifications
5
5
Languages
Work History
Data-Driven Approaches for Energy Domain Systems
EIB
Bengaluru
08.2022 - Current
- Used various data-driven energy models, such as neural networks, support vector machines, decision trees, adaboost and random forests to predict the Bottom hole pressure.
- Also developed a ML model for time series data to forecast wind speed.
- Strong understanding of data pre-processing techniques, feature engineering, and model optimization to improve the performance of the models.
- Creation of a Graphic User Interface using Tkinter library.
Data Analytics for Sustainability
MNIT
Jaipur
06.2022 - 07.2023
- Learned GaBi software and implemented for sustainable production of steel clip.
- Learned many MCDM techniques like AHP, TOPSIS, FUZZY, FUZZY-AHP etc.
- Developed practical solutions for difficult situations by utilizing my strong analytical and problem-solving abilities.
SOLAR PV – SIMULATION AND DESIGNING
Vardhan consulting Engineers
Patna
04.2020 - 06.2023
- Simulation and calculation of AEP using PVSyst for a grid-connected 100 kW solar PV project in Noida, U.P.
- Adaptable and proficient in learning new concepts quickly and efficiently.
Vehicle Price Prediction Using ML
Self
08.2022 - 09.2023
- Trained and fine-tuned various machine learning models, such as random forest, decision tree, and support vector machine predict vehicle prices.
Bank Customer Segmentation Analysis: Using Tableau
Self
01.2023 - 01.2023
- Utilized Tableau's data visualization capabilities to create insightful and intuitive dashboards and reports, highlighting key customer segments and trends.
- Identified and analyzed customer distribution patterns on basis of their age,gender, Bank Balance and job classification.
Education
M.Tech. - Renewable Energy
Energy Institute Bengaluru,(a Centre of RGIPT)
08.2021 - Current
B.Tech. - Petroleum Engineering
Nims University
Jaipur 08.2014 - 07.2018
Skills
Python
Machine Learning
Deep Learning
Advanced Excel
MySQL
Tableau
Power BI
Software
GaBi
PvSyst
Amos
Jupyter Notebook
VS Code
Certification
Data Analytics and Visualization Virtual Experience
Timeline
Python For Time-series Analysis
02-2023
Bank Customer Segmentation Analysis: Using Tableau
Self
01.2023 - 01.2023
Data-Driven Approaches for Energy Domain Systems
EIB
08.2022 - Current
Vehicle Price Prediction Using ML
Self
08.2022 - 09.2023
Data Analytics for Sustainability
MNIT
06.2022 - 07.2023
M.Tech. - Renewable Energy
Energy Institute Bengaluru,(a Centre of RGIPT)
08.2021 - Current
SOLAR PV – SIMULATION AND DESIGNING
Vardhan consulting Engineers
04.2020 - 06.2023
B.Tech. - Petroleum Engineering
Nims University
08.2014 - 07.2018